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Dynamics and Control of Humanoid Robots: A Geometrical Approach

2011/05/15 by Vladimir G. Ivancevic, Ivancevic, Vladimir G., Tijana T. Ivancevic +1
Mathematics · Computer Science · #Probability and Statistical Research #Diverse Interdisciplinary Research Studies

paper · pdf · doi:10.48550/arxiv.1105.2951

Abstract

his paper reviews modern geometrical dynamics and control of humanoid robots. This general Lagrangian and Hamiltonian formalism starts with a proper definition of humanoid's configuration manifold, which is a set of all robot's active joint angles. Based on the `covariant force law', the general humanoid's dynamics and control are developed. Autonomous Lagrangian dynamics is formulated on the associated `humanoid velocity phase space', while autonomous Hamiltonian dynamics is formulated on the associated `humanoid momentum phase space'. Neural-like hierarchical humanoid control naturally follows this geometrical prescription. This purely rotational and autonomous dynamics and control is then generalized into the framework of modern non-autonomous biomechanics, defining the Hamiltonian fitness function. The paper concludes with several simulation examples. Keywords: Humanoid robots, Lagrangian and Hamiltonian formalisms, neural-like humanoid control, time-dependent biodynamics

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